import os
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2'
import tensorflow as tf 

filter_weight = tf.get_variable('weights', [5, 5, 3, 16], initializer = tf.truncated_normal_initializer(stddev = 0.1))
biases = tf.get_variable('biases', [156], initializer = tf.constant_initializer(0.1))
conv = tf.nn.conv2d(input, filter_weight, strides = [1, 1, 1, 1], padding = 'SAME')
bias = tf.nn.bias_add(conv, biases)
actived_conv = tf.nn.relu(bias)